Sr. Data Intelligence Specialist

Southwest Power Pool•Little Rock, AR

1d•Hybrid

About The Position

The M+ Data Intelligence Specialist develops, implements, and optimizes artificial intelligence and data-driven solutions for Southwest Power Pool's M+ Market Monitoring Unit. The role leverages data assets to drive innovation, improve efficiency, and inform strategic decisions that support market monitoring. The specialist works with cross-functional teams to ensure solutions are scalable, secure, and aligned with organizational priorities. SAS Viya is the primary AI platform.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
7 years of experience in data science or data analytics.
7 years of experience with database technology, including SQL.
Proficiency in programming languages such as SAS, Python, R, or Java.
Strong SQL skills.
Experience with machine learning frameworks and data analytics tools.
Strong understanding of statistics, data modeling, and database technologies.
Ability to work independently and collaboratively in a team environment.
Excellent problem-solving and communication skills.

Nice To Haves

4 years of experience with SAS.
2 years of experience modeling data with artificial intelligence or machine learning.
5 years of experience in energy markets.
Experience with SAS Viya, data modeling, Oracle Exadata, and SQL.
Experience with Oracle Exadata.
Proficiency in project tracking tools such as Confluence and Jira.

Responsibilities

Design, build, and maintain AI and data intelligence systems to solve business challenges, primarily using SAS Viya.
Analyze and interpret complex datasets using statistical and machine learning techniques.
Develop and deploy predictive models, algorithms, and data pipelines to support market monitoring and detect market manipulation.
Work with IT Data Services to develop requirements and ensure ongoing support for the MMU’s data repositories.
Gather requirements with teammates, translate them into technical specifications, and facilitate the building, implementation, and maintenance of surveillance screens.
Ensure data quality, integrity, and security throughout project lifecycles.
Document technical processes and projects to support knowledge sharing within the MMU.
Lead the design and architecture of advanced AI and data intelligence solutions.
Mentor and guide teammates, fostering skill development and best practices.
Research and implement emerging technologies and methodologies.
Communicate complex technical concepts to leadership and non-technical teammates.
Establish and enforce standards for data governance and ethical AI usage.